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预测-校正EKF算法在自主导航中的应用
引用本文:张共愿,程咏梅,杨峰,潘泉,谷丛. 预测-校正EKF算法在自主导航中的应用[J]. 宇航学报, 2009, 30(6): 2226-2230. DOI: 10.3873/j.issn.1000-1328.2009.06.029
作者姓名:张共愿  程咏梅  杨峰  潘泉  谷丛
作者单位:西北工业大学自动化学院,西安 710072
基金项目:国家自然科学基金重点项目,青年项目,航天科技创新基金,高等学校博士学科点专项科研基金 
摘    要:为提高航天器自主导航系统非线性估计精度,通过分析EKF线性化方法的缺 点,基于数学分析理论研究了非线性函数线性化展开点以及雅可比矩阵取值点不同对线性化 逼近程度的影响,然后对传统EKF算法的线性化展开方式进行了改进,提出了一种基于中值 定理和平滑估计的预测-校正EKF(FR|EKF)新算法。仿真结果表明,该算法在精度上优于 EKF算法。

关 键 词:自主导航  非线性估计  平滑  中值定理  
收稿时间:2008-12-30

Applying of Forecast-Revise EKF Algorithm in Autonomous Navigation System
ZHANG Gong-yuan,CHENG Yong-mei,YANG Feng,PAN Quan,GU Cong. Applying of Forecast-Revise EKF Algorithm in Autonomous Navigation System[J]. Journal of Astronautics, 2009, 30(6): 2226-2230. DOI: 10.3873/j.issn.1000-1328.2009.06.029
Authors:ZHANG Gong-yuan  CHENG Yong-mei  YANG Feng  PAN Quan  GU Cong
Abstract:In order to improve the nonlinear estimation accuracy in autonomous navigation of spacecraft, via analyzing the drawbacks of linearization in EKF(Extended Kalman Filter), the influence of the difference expansion point in linearization of non-linear function and the difference valued point in Jacobin matrix to the accuracy of" linearization was studied based on the theory of mathematics analyzing. Then the linearization expansion way of generic EKF was improved, and a new algorithm called Forecast-Revise EKF (FR-EKF) based on mean value theorem and the smoothing estimation was proposed. Simulation result shows that the new algorithm is prior to EKF regard to accuracy.
Keywords:Autonomous navigation  Nonlinear estimation  Smoothing  Mean value theorem
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